Staff Machine Learning Engineer
Description For Staff Machine Learning Engineer
PayPal, a global leader in digital payments with over 25 years of revolutionizing commerce, is seeking a Staff Machine Learning Engineer to join their Global Machine Learning team. This role offers an exciting opportunity to shape the future of financial technology through AI-driven solutions.
The position involves developing sophisticated machine learning solutions for personalization, recommendation, and ranking systems across PayPal's major brands including BrainTree and Venmo. You'll be working on optimizing customer journeys through personalized experiences, implementing advanced ML models like gradient boosted decision trees and neural networks, and deploying scalable AI solutions.
As a Staff ML Engineer, you'll be at the forefront of implementing cutting-edge technology while working with a team that serves hundreds of millions of merchants and consumers globally. The role offers a competitive salary range of $96,900 to $234,300, along with comprehensive benefits including equity, medical coverage, and a flexible hybrid work arrangement.
The ideal candidate should have at least 5 years of relevant industry experience with a Masters degree (or 4+ years with a PhD) in a quantitative field. Strong programming skills in Python and SQL, experience with modern ML frameworks, and a track record of shipping real-time models are essential. This role provides an opportunity to make a significant impact on global financial inclusion while working with state-of-the-art technology.
PayPal offers a balanced hybrid work model with 3 days in office for collaboration and 2 days flexible, comprehensive health benefits, equity options, and career development opportunities. The company's commitment to diversity, inclusion, and belonging makes it an ideal place for innovative minds to thrive while working on meaningful problems in financial technology.
Responsibilities For Staff Machine Learning Engineer
- Develop and implement advanced ML models including gradient boosted decision tree, graph neural networks and deep learning models
- Design and deploy scalable generative AI solutions
- Design and deploy scalable ML/AI solutions for seamless customer experience
- Communicate complex concepts and model results to technical and non-technical audiences
Requirements For Staff Machine Learning Engineer
- Masters degree or equivalent experience in quantitative field with 5+ yrs experience or PhD with 4+ yrs experience
- Experience in Recommendation, Ranking, Product and Marketing domains
- Proficient in Python, SQL
- Familiarity with machine learning frameworks like Tensorflow and PyTorch
- Experience leading ML projects
- Experience shipping Realtime models
- Fluent spoken and written English communication skills
Benefits For Staff Machine Learning Engineer
- Medical, dental, vision benefits
- Annual performance bonus
- Equity
- Retirement and investment resources
- Paid Time Off and 4-week sabbatical program
- Educational benefits and career development
- Hybrid work model (3 days office, 2 days flexible)
- Employee shares options
- Health and life insurance
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